Solicité el puesto a través de un captador. El proceso duró 3 semanas. Acudí a una entrevista en Apple en may 2018
Entrevista
Get contacted by recruiter on LinkedIn. Schedule a phone interview one week later. Recruiter doesn't share any useful aspects on the interview. I was told that I can code in any language but turns out I need to code in Python, which is not my preferred language. Interviewer also asked a few machine learning questions and I answered them well, I believe.
Preguntas de entrevista [1]
Pregunta 1
what's bias variance tradeoff. How is XGBoost handling bias-variance tradeoff? Code in Python to find anagrams in a list and print out list of anagrams.
Envié una solicitud electrónica. Acudí a una entrevista en Apple
Entrevista
First Round: 2 questions on SQL (hard) and Scenario based question was given. You have to provide a detailed answer on what kind of framework you would build on the scenario.
The interview process for the Data Scientist role at Apple consisted of three rounds
First round: screen with a recruiter
Second round: screen with a hiring manager
Third round: a virtual on-site with 3 interviews
The interview process consisted of multiple rounds, including an initial recruiter conversation followed by several virtual interviews with team members. The interviews focused on my background, past data science projects, machine learning fundamentals, statistical thinking, and how I approach business problems with data. There was also discussion around cross-functional collaboration, communication, and how I would translate technical insights into actionable recommendations. Overall, the process was rigorous and comprehensive, with a strong emphasis on both technical depth and practical problem solving.
Preguntas de entrevista [1]
Pregunta 1
Tell me about one of your data science projects and explain the business problem, your modeling approach, the metrics you used, and how you communicated the results to stakeholders.